Knowledge extraction using neural network by an artificial life approach

1997 ◽  
pp. 177-186 ◽  
Author(s):  
Yuji Makita ◽  
Masafurni Hagiwara
Keyword(s):  
Neural Network ◽  
Artificial Life ◽  
Knowledge Extraction

Knowledge Extraction from Unknown Environment by Artificial-life Approach

1999 ◽  
Vol 3 (4) ◽  
pp. 215-222
Author(s):  
Ryoji Sawa ◽  
◽  
Yuji Makita ◽  
Masafumi Hagiwara
Keyword(s):  
Information Processing ◽  
Artificial Life ◽  
Actual World ◽  
Gene Evolution ◽  
Knowledge Extraction ◽  
Present Knowledge ◽  
Difficult Situation ◽  
Living Things ◽  
Route Finding ◽  
Complex Phenomena

Studies that target excellent information processing systems simulating life systems include the artificial-life (AL) incorporating emergence phenomenon - individual elements interacting based on lower level rules to generate higher level complex phenomena. Living things conserve species by replicating genes. We propose knowledge extraction promoting emergence by an AL approach incorporating living conservation of species and gene evolution. The proposed system consists of an AL environment and a knowledge extraction network. In the AL environment, individual elements interact and obtained data is input to the knowledge extraction network to present knowledge as a form of rules. Sets of rules are regarded as genes individual elements bequeath and new elements inherit these genes. We deal with a route-finding problem that, in simulation, sets a difficult situation whose goal is unknown, considering the actual world. Rules on route maps are extracted and extracted sets of rules are regarded as genes whose evolution is simulated through gene combination. We verified that the system finds routes effectively using evolved genes in a map made complex by combining maps.

scholarly journals Knowledge Extraction from Trained Neural Network Scour Models

2008 ◽  
Vol 2 (4) ◽  
Author(s):  
H. Md. Azamathulla ◽  
Aminuddin Ab Ghani ◽  
Nor Azazi Zakaria ◽  
Chang Chun Kiat ◽  
Leow Cheng Siang
Keyword(s):  
Neural Network ◽  
Knowledge Extraction ◽  
Trained Neural Network

KnoX method, or Knowledge eXtraction from neural network model. Case study on the Lez karst aquifer (southern France)

2013 ◽  
Vol 507 ◽  
pp. 19-32 ◽  
Author(s):  
Line Kong-A-Siou ◽  
Kévin Cros ◽  
Anne Johannet ◽  
Valérie Borrell-Estupina ◽  
Séverin Pistre
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Karst Aquifer ◽  
Knowledge Extraction ◽  
Model Case ◽  
Southern France
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